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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.13%
Members: 29 active members (75 total)
Avg. Member Points: 11,653
Total Kills: 346,738
Total Deaths: 298,120
Avg. Kills: 11,956
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 387d 20:08:32h
Avg. Connection Time: 13d 08:58:13h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points sort-descending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,787 46d 21:12:43h 69,011 19.90% 31,407 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.11% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.19% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,689 5d 13:22:18h 6,658 1.92% 4,466 1.49
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.33% 10,412 1.11
6  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.55% 12,180 1.58
7  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.23% 3,263 1.31
8  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 12.15% 38,689 1.09
9  Russian federationИлья190RUS elorank 12,673 3d 19:17:12h 3,977 1.15% 3,458 1.15
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.90% 1,465 2.12
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.06% 15,207 1.15
12  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.73% 12,310 1.05
13  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 4.00% 13,411 1.03
14  Germany«★»Andy«★» elorank 10,522 2d 20:54:23h 2,916 0.84% 2,271 1.28
15  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.78% 15,929 1.48
16  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 10,107 3d 12:20:40h 3,341 0.96% 3,512 0.95
17  Russian federationShalfeYka elorank 9,929 2d 00:54:08h 1,783 0.51% 1,789 1.00
18  Russian federationBISON elorank 9,896 8d 10:37:27h 5,541 1.60% 8,379 0.66
19  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.28% 5,036 0.88
20  Russian federationLoony elorank 9,616 30d 09:51:43h 19,993 5.77% 22,172 0.90


Page: 1 2




  Player Actions *

Rank Action Achieved sort-ascending.gif Points Bonus
1 Rescue a Hostage 1 times 5
2 Mega Kill (6 kills) 4 times 20
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 48 times 192
6 Start Defusing the Bomb Without a Defuse Kit 65 times 0
7 Domination (4 kills) 450 times 1,350
8 Defuse the Bomb 497 times 4,970
9 Start Defusing the Bomb With a Defuse Kit 690 times 0
10 Revenge 1,650 times 4,950
11 Triple Kill (3 kills) 2,539 times 5,078
12 Domination 3,294 times 16,470
13 Plant the Bomb 4,719 times 47,190
14 Double Kill (2 kills) 10,658 times 10,658
15 Drop the Bomb 12,507 times -25014
16 Round MVP 16,811 times 0
17 Pick up the Bomb 22,557 times 45,114
18 Headshot 26,664 times 26,664




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 1,932 times -5796
2 Domination 2,653 times -13265




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,120 times 27.95%
2 Counter-Terrorist 2,401 times 21.51%




  Weapon Usage *

Rank Weapon Points Modifier sort-descending.gif Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Bundeswehr Advanced Combat Knife 2.00 1,650 0.48% 2 0.00% 0.00
2 High Explosive Grenade 1.80 2,485 0.72% 0 0.00% 0.00
3 Steyr Tactical Machine Pistol 1.50 59 0.02% 30 0.02% 0.51
4 Sig Sauer P-228 1.50 1,250 0.36% 529 0.40% 0.42
5 Ingram MAC-10 1.50 119 0.03% 59 0.04% 0.50
6 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
7 H&K USP .45 Tactical 1.40 134 0.04% 67 0.05% 0.50
8 Glock 18 Select Fire 1.40 105 0.03% 51 0.04% 0.49
9 Dual Beretta 96G Elite 1.40 224 0.06% 102 0.08% 0.46
10 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
11 FN P90 1.20 1,554 0.45% 689 0.52% 0.44
12 H&K MP5-Navy 1.20 105 0.03% 46 0.04% 0.44
13 Benelli M3 Super 90 Combat 1.20 636 0.18% 267 0.20% 0.42
14 M249 PARA Light Machine Gun 1.20 2,174 0.63% 1,061 0.81% 0.49
15 Desert Eagle .50AE 1.20 6,421 1.85% 3,588 2.73% 0.56
16 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
17 Steyr Scout 1.10 5,851 1.69% 3,682 2.80% 0.63
18 Galil 1.10 120 0.03% 50 0.04% 0.42
19 Sig Sauer SG-552 Commando 1.00 961 0.28% 425 0.32% 0.44
20 Colt M4A1 Carbine 1.00 11,648 3.36% 5,256 4.00% 0.45
21 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
22 Arctic Warfare Magnum (Police) 1.00 2,400 0.69% 397 0.30% 0.17
23 Steyr Aug 1.00 80 0.02% 39 0.03% 0.49
24 Kalashnikov AK-47 1.00 19,125 5.52% 9,694 7.38% 0.51
25 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 582,401 69,363 2,743,531 10,122 19,654 9.3368 11.9% 39.6 29.6
2 Colt M4A1 Carbine 412,758 51,517 1,635,269 5,253 11,645 10.9240 12.5% 31.7 35.4
3 Desert Eagle .50AE 69,930 18,050 939,719 3,622 6,461 4.3626 25.8% 52.1 10.8
4 Steyr Scout 46,977 14,092 1,348,648 3,675 5,845 2.3965 30.0% 95.7 8.0
5 Arctic Warfare Magnum (Police) 10,029 3,468 466,604 404 2,408 5.0695 34.6% 134.5 4.2
6 M249 PARA Light Machine Gun 113,130 8,385 315,655 1,113 2,232 13.2071 7.4% 37.6 50.7
7 FN P90 76,882 8,789 205,959 689 1,554 10.1569 11.4% 23.4 49.5
8 Sig Sauer P-228 33,771 5,229 160,866 529 1,250 23.1481 15.5% 30.8 27.0
9 Sig Sauer SG-552 Commando 74,072 4,965 143,358 438 977 37.5769 6.7% 28.9 75.8
10 Benelli M3 Super 90 Combat 2,863 5,788 83,653 267 636 2.1342 202.2% 14.5 4.5
11 Bundeswehr Advanced Combat Knife 12,044 1,157 60,502 2 403 1.7446 9.6% 52.3 29.9
12 Dual Beretta 96G Elite 5,633 1,119 30,927 102 224 74.6667 19.9% 27.6 25.1
13 H&K USP .45 Tactical 5,128 930 19,158 66 133 10.2308 18.1% 20.6 38.6
14 Galil 3,410 500 16,691 50 120 60.0000 14.7% 33.4 28.4
15 Ingram MAC-10 5,038 844 15,369 58 116 29.0000 16.8% 18.2 43.4
16 H&K MP5-Navy 4,960 905 15,133 45 103 11.4444 18.2% 16.7 48.2
17 Glock 18 Select Fire 5,193 901 15,897 50 103 6.8667 17.4% 17.6 50.4
18 Steyr Aug 3,010 428 12,647 40 81 11.5714 14.2% 29.5 37.2
19 Benelli/H&K M4 Super 90 XM1014 1,346 924 10,916 28 75 15.0000 68.6% 11.8 17.9
20 FN Five-Seven 1,360 334 8,810 29 60 30.0000 24.6% 26.4 22.7
21 Steyr Tactical Machine Pistol 4,010 502 8,977 29 58 58.0000 12.5% 17.9 69.1
22 Fusil Automatique 1,191 214 6,712 22 46 46.0000 18.0% 31.4 25.9
23 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
24 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
25 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 69,363 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 51,517 27.8% 59.1% 13.0%
3 Desert Eagle .50AE 18,050 26.2% 61.7% 12.1%
4 Steyr Scout 14,067 26.4% 64.9% 8.7%
5 FN P90 8,789 28.0% 56.4% 15.6%
6 M249 PARA Light Machine Gun 8,385 28.3% 57.3% 14.4%
7 Benelli M3 Super 90 Combat 5,788 29.7% 57.3% 13.0%
8 Sig Sauer P-228 5,229 28.6% 57.7% 13.7%
9 Sig Sauer SG-552 Commando 4,965 28.8% 55.9% 15.3%
10 Arctic Warfare Magnum (Police) 3,468 32.6% 57.6% 9.8%
11 Dual Beretta 96G Elite 1,119 24.9% 61.6% 13.5%
12 H&K USP .45 Tactical 930 25.1% 62.7% 12.3%
13 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
14 H&K MP5-Navy 905 28.4% 56.8% 14.8%
15 Glock 18 Select Fire 901 26.5% 62.2% 11.3%
16 Ingram MAC-10 844 26.4% 58.4% 15.2%
17 Steyr Tactical Machine Pistol 502 25.7% 63.1% 11.2%
18 Galil 500 28.8% 55.6% 15.6%
19 Steyr Aug 428 27.8% 57.2% 15.0%
20 FN Five-Seven 334 23.7% 62.0% 14.4%
21 H&K UMP45 269 26.4% 53.5% 20.1%
22 Fusil Automatique 214 22.0% 63.6% 14.5%
23 Bundeswehr Advanced Combat Knife 53 24.5% 67.9% 7.5%
24 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
25 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%


Targets
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ERROR
Database Error

Server Address: localhost
Server Username: hlstatsxce

Error Diagnostic:
Bad query.

Server Error: (1052) Column 'map' in order clause is ambiguous

Last SQL Query:
		SELECT *, 
			IFNULL(kills/deaths, '-') AS kpd,
			IFNULL(headshots / kills, '-') AS hpk,
			ROUND(kills / 346738 * 100, 2) AS kpercent,
			ROUND(headshots / 131305 * 100, 2) AS hpercent
		FROM
			tmp_clan_kills, tmp_clan_deaths
		WHERE
			tmp_clan_kills.map = tmp_clan_deaths.map
		ORDER BY
			map desc,
			kills desc